Title :
An empirical study of feature extraction in the analysis of credit card risk
Author_Institution :
Chongqing Three Gorges Univ., Chongqing, China
Abstract :
The default risk is a critical loss to credit card business. Various methods of early detection start with meaningful features to obtain good performance. Lack of detailed data has limited the understanding of consumer behavior and motivation in the use of cards and subsequently in a more complete understanding of default. We discuss several ways to extract all kinds of features to illustrate the indication of them to distinguish the good and bad accounts. With the availability of the real data, a new and more complex picture of cardholders´ behavior has emerged.
Keywords :
credit transactions; data handling; feature extraction; risk analysis; cardholder behavior; credit card business; credit card risk; feature extraction; risk analysis; Business; Consumer behavior; Credit cards; Economics; Feature extraction; Indexes; Time frequency analysis; credit risk; customer behavior pattern; feature extraction;
Conference_Titel :
Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-8622-9
DOI :
10.1109/ITAIC.2011.6030156